- University of Washington (Seattle, WA)
- …computational analysis. Work spans study design, method optimization, data analysis, and manuscript preparation supporting sponsor deliverables. **Purpose ... research & methods development - design experiments/analyses; develop/validate protocols; ensure data quality & reproducibility (50%). Project & data management… more
- Microsoft Corporation (Redmond, WA)
- …next chapter of RAG (retrieval-augmented generation) that can bring together many sources of data and transform data into knowledge. We are expanding Azure AI ... + Collection, generation and filtering of training and evaluation data + Building offstate of the arttechniques from across...of the artresearchintotechniquesshipped to production. + Develop and build metrics to use across the full range of search… more
- Johns Hopkins University (Gaithersburg, MD)
- …research of the collaboration. The work will entail: Identifying and developing metrics for NIST's Artificial Intelligence (AI) efforts to assess industrial uptake ... stakeholders | Perform a literature review and analysis on various approaches and metrics to measure uptake and impact | Perform a detailed analysis using relevant… more
- BeOne Medicines (Pennington, NJ)
- …+ Provide technical support for Drug Product Operations. Provide input into operational metrics , budgeting, and planning. + Establish a data and metrics ... with other global manufacturing sites through shared knowledge, shared manufacturing data , shared manufacturing issues, and common solutions. + Partner with GZ… more
- Johns Hopkins University (Gaithersburg, MD)
- …The project aims to develop an annotation framework for AI risk assessment and establish metrics for data quality in AI risk research, supporting broader work at ... Large Language Models (LLMs) to provide annotations of evaluation data (aka, LLM as judge), and the design of...measuring the validity and reliability of AI-related risks in data annotation. Research Title Reliability of Human and LLM… more
- Insight Global (San Jose, CA)
- …machine learning experiments, build strong baselines, and choose the right evaluation metrics for each task. Stay Current with AI Research: Continuously explore new ... problems. Establish Evaluation Standards: Define robust evaluation methods, including offline metrics , user studies, and adversarial (red team) testing, to ensure… more
- Johns Hopkins University (Gaithersburg, MD)
- …of the collaboration. Research Title: Researching Scenarios for AI Evaluations and Metrics The work will entail: The National Institute of Standards and Technology ... human-AI interaction. | Operationalizing higher-level key performance indicators (KPIs) and metrics of AI scenarios into meaningful measures of risks and benefits.… more
- MongoDB (New York, NY)
- …to create, transform, and disrupt industries by unleashing the power of software and data . We enable organizations of all sizes to easily build, scale, and run ... legacy workloads, embrace innovation, and unleash AI. Our industry-leading developer data platform, MongoDB Atlas, is the only globally distributed, multi-cloud… more
- Microsoft Corporation (Redmond, WA)
- …next chapter of RAG (retrieval-augmented generation) that can bring together many sources of data and transform data into knowledge. We are expanding Azure AI ... + Collection, generation and filtering of training and evaluation data + Building off state of the art techniquesfrom...techniques shipped to production 2. Select, develop and build metrics to use across the full range of search… more
- Lilly (San Diego, CA)
- …flips, and other rare conformational events; summarize with quantitative, decision-oriented metrics . + Partner with project teams to prioritize designs; reconcile ... predictions and calculations with experimental data . + Develop methods predicting MHCII-peptide registration + Build validated MD playbooks/SOPs (system prep,… more
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